Location
Edinburgh - Central Area, Midlothian, United Kingdom
Hours
Full Time – 35 Hours Per Week. Flexible and part-time working patterns may be considered. Hybrid working with an expectation of at least two days per week in the Edinburgh office.
Salary
£41,064.00 - £48,822.00 Per Annum
About the Role
We are seeking a Senior Climate Data Analyst to join the Scottish Climate Intelligence Service (SCIS) Programme at the Edinburgh Climate Change Institute (ECCI). In this role, you will provide technical expertise and support to Scottish Local Authorities and other local and national partners to scale up and deliver climate action across Scotland. Your responsibilities will include supporting the shaping and tracking of progress on local and national climate plans using the ClimateView online platform, identifying and sharing best practices, and coordinating delivery among climate partners. You will analyse Scotland-wide datasets to generate insights for government policy and lead workstreams to develop data services that enhance climate action delivery. We welcome candidates with skills or experience in using data to capture economic and social impacts to help embed the wider benefits of climate action within the SCIS programme.
You will join the Climate Partnerships team within ECCI, a group of over 12 professionals working on various programmes to support climate action by private and public stakeholders. SCIS is a partnership between ECCI and the Improvement Service. This fixed-term contract runs until 31 March 2027, with continuity subject to funding renewal beyond this date.
Experience
Proven experience in data analysis and presentation. Experience working with public sector climate policy and/or delivery is highly desirable. Demonstrated ability to work independently and lead workstreams.
About you
Adaptable with strong problem-solving skills and confident communication abilities, both written and verbal. Enthusiastic about supporting climate action and collaborating with diverse stakeholders.
Qualifications
Relevant qualifications in data analysis, climate science, environmental studies, or related fields are preferred. A strong technical background and ability to work with complex datasets is essential.
